Messman Brett A, Petrie Kyla A, Moore E Whitney G, Petrie Trent A
Department of Psychology, University of North Texas, Denton, Texas.
Center for Healthy Aging, The Pennsylvania State University, University Park, Pennsylvania.
Clin J Sport Med. 2024 Dec 3. doi: 10.1097/JSM.0000000000001278.
The purpose of this study was to examine the relationship between collegiate student-athletes' sleep and injury status.
This study was a secondary analysis of observational survey data of student-athletes collected across 2 time periods, October 2020 and January 2021.
Data were collected as part of an ongoing national (USA) longitudinal survey investigating student-athletes' well-being in the aftermath of the COVID-19 pandemic.
Participants were made-up of a subsample of participants from the parent study. Data from 89 exact matched pairs (across 5 demographics) of injured and noninjured student-athletes (68.5% NCAA Division I, 82.0% women) were assessed.
Student-athletes' sleep disturbance levels were the primary independent variable of interest. Analytic models also covaried for gender, racial, and ethnic identities, sport in-seasons, and previous injury status.
Participant endorsed injury status was the main outcome measure of interest. Hypotheses were formulated during the data collection of the parent study.
Student-athletes injured in January 2021 reported higher average sleep disturbances in both October 2020 and January 2021 than noninjured student-athletes but not student-athletes injured in October. In addition, October 2020 sleep disturbances were a significant predictor (P = 0.007) of injury, such that odds of student-athletes being injured increased 1.07 times for each unit increase in their sleep disturbances controlling for their identities, sport in-season, and previous injury status.
Findings signal support for the screening and targeting of student-athletes' sleep problems to reduce potential occurrences of sports-related injuries in student-athletes.
本研究旨在探讨大学生运动员的睡眠与受伤状况之间的关系。
本研究是对2020年10月和2021年1月两个时间段收集的学生运动员观察性调查数据进行的二次分析。
数据是作为一项正在进行的全国性(美国)纵向调查的一部分收集的,该调查旨在研究新冠疫情后学生运动员的健康状况。
参与者由母研究中的一部分子样本组成。评估了89对精确匹配的受伤和未受伤学生运动员(跨越5个人口统计学特征)的数据(68.5%为美国大学体育协会一级联赛运动员,82.0%为女性)。
学生运动员的睡眠障碍水平是主要的自变量。分析模型还对性别、种族和民族身份、赛季中的运动项目以及既往受伤状况进行了协变量调整。
参与者认可的受伤状况是主要的结局指标。假设是在母研究的数据收集期间制定的。
2021年1月受伤的学生运动员在2020年10月和2021年1月报告的平均睡眠障碍均高于未受伤的学生运动员,但低于10月受伤的学生运动员。此外,2020年10月的睡眠障碍是受伤的一个显著预测因素(P = 0.007),即在控制了他们的身份、赛季中的运动项目和既往受伤状况后,学生运动员的睡眠障碍每增加一个单位,其受伤几率就增加1.07倍。
研究结果表明,对学生运动员的睡眠问题进行筛查和针对性处理,有助于减少学生运动员与运动相关损伤的潜在发生。